Teamwork in Big Networks

Teams are increasingly indispensable to achievement in any organization. Despite our substantial dependency on teams, fundamental knowledge about the conduct of team-enabled operations is lacking, especially at the social, cognitive and information level in relation to team performance and network dynamics.

The emergence of network science and the advent of big data era create a brand new environment where different users collaborate with each other to collectively perform complex cognitive tasks by providing an easier-than-ever access to the massive knowledge base as well as the broad social connectivity at an unprecedented scale and granularity.

The goal of this project is two-fold:

understand the dynamic associational and causal mechanisms that drive peak team performance

create a suite of new instruments to predict, explore and design high-performing teams

This project is an on-going multi-disciplinary, multi-institute effort, coordinated by the Data Lab @ ASU led by Dr. Hanghang Tong, with contributions from many leading researchers (please refer to the related papers below).

Main Contacts:

Mr. Liangyue Li (ASU, for team prediction and design algorithms; and site maintenance)

Liangyue Li, Hanghang Tong. The child is Father of the Man: Foresee the Success at the Early Stage. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015. [PDF][Slides]